Chat

`client.chat.complete()`

Send a chat completion request and return the full response.

response = client.chat.complete(
    model="kf-reasoning-10b",
    messages=[{"role": "user", "content": "Hello"}],
)

Parameters

model

str

required

Model ID. Example: "kf-reasoning-10b".

messages

List[dict]

required

Conversation history as a list of {"role": ..., "content": ...} dicts. Roles: "user", "assistant", "system".

system

str

System prompt. Prepended automatically as a system message.

max_tokens

int

Maximum tokens to generate. Default 1024.

temperature

float

Sampling temperature between 0.0 and 2.0. Default 0.7.

top_p

float

Nucleus sampling probability. Default 1.0.

extra

dict

Any additional parameters passed through to the API.

Returns: `ChatCompletion`

Field	Type	Description
`id`	`str`	Request ID
`model`	`str`	Model used
`choices`	`List[Choice]`	Generated responses
`usage`	`Usage` or None	Token usage

Each Choice:

Field	Type	Description
`index`	`int`	Index in choices list
`message`	`Message`	The generated message
`finish_reason`	`str`	Why generation stopped

Message has role and content fields.

`client.chat.stream()`

Send a streaming chat request. Returns a ChatStream context manager.

with client.chat.stream(
    model="kf-reasoning-10b",
    messages=[{"role": "user", "content": "Hello"}],
) as stream:
    for chunk in stream:
        print(chunk.delta, end="", flush=True)

Parameters

Same as complete().

Returns: `ChatStream`

Use as a context manager and iterate over StreamChunk objects.

Method	Returns	Description
`__iter__`	chunks	Yields `StreamChunk` objects
`get_final_text()`	`str`	Full concatenated text after iteration

Each StreamChunk:

Field	Type	Description
`id`	`str`	Request ID
`model`	`str`	Model used
`delta`	`str`	Text content of this chunk
`finish_reason`	`str` or None	`"stop"` on the final chunk

Getting Started

Guides

API Reference

`client.chat.complete()`

Parameters

Returns: `ChatCompletion`

`client.chat.stream()`

Parameters

Returns: `ChatStream`

​client.chat.complete()

​Parameters

​Returns: ChatCompletion

​client.chat.stream()

​Parameters

​Returns: ChatStream

`client.chat.complete()`

Parameters

Returns: `ChatCompletion`

`client.chat.stream()`

Parameters

Returns: `ChatStream`